AWS Data Engineer
Barclays · Posted Oct 5
Banking, credit card, corporate, investment banking, and wealth management services
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About the role
Barclays is looking for an AWS Data Engineer to support Location Strategy projects and help build and maintain systems that collect, store, process and analyse data. The team works with an AWS data analytics stack, Snowflake, Airflow and PySpark to deliver secure, governed data pipelines and data warehouses/lakes. This role will design and implement data architectures, develop processing algorithms and collaborate with data scientists to deploy machine learning models.
What you will do
- Supporting the successful delivery of Location Strategy projects to plan, budget, agreed quality and governance standards.
- Build and maintenance of data architectures pipelines that enable the transfer and processing of durable, complete and consistent data.
- Design and implementation of data warehoused and data lakes that manage the appropriate data volumes and velocity and adhere to the required security measures.
- Development of processing and analysis algorithms fit for the intended data complexity and volumes.
- Collaboration with data scientist to build and deploy machine learning models.
Skills used in this role
What the employer is looking for
- 5+ years of experience in developing, testing and maintaining applications on AWS Cloud.
- Strong hands‑on experience with the AWS Data Analytics stack (Amazon S3, AWS Glue, Athena, Lambda, IAM, Lake Formation, KMS, STS, and Step Functions), with a proven ability to build, test, and support secure, scalable, and well‑governed data pipelines.
- Firsthand experience in Airflow and PySpark and strong knowledge of Python.
- Design and implement scalable and efficient data transformation/storage solutions using Snowflake.
- Experience in Data ingestion to Snowflake for different storage format such Parquet, Iceberg, JSON, CSV etc.
- Experience in using DBT (Data Build Tool) with snowflake for ELT pipeline development.
- Experience in Writing advanced SQL and PL SQL programs.
- Experience in AWS data pipeline development.
- HandsOn Experience for building reusable components using Snowflake and AWS Tools/Technology.
- Must have completed two major projects.
- Exposure to data governance or lineage tools such as Immuta and Alation is added advantage.
- Experience in using Orchestration tools such as Apache Airflow or Snowflake Tasks is added advantage.
- Knowledge on Ab Initio ETL tool is a plus.
- Hands on experience in Unix scripting is a plus.
- Automation based on tools like selenium, java is a plus.
Preferred qualifications
- Engage stakeholders, gather requirements/user stories, and translate them into ETL components.
- Understand infrastructure setup and provide solutions independently or in collaboration with teams.
- Good knowledge of Data Marts and Data Warehousing concepts.
- Excellent analytical and people skills.
- Implement a cloud-based enterprise data warehouse using multiple platforms, including Snowflake and NoSQL, to develop data movement strategies.
Benefits and support
- Compensation and benefits are detailed in the job posting
About Barclays
Barclays is a British multinational universal bank that provides consumer, corporate, and investment banking, as well as wealth management services. Tracing its origins back to 1690 in London, the institution operates globally to serve millions of retail and institutional clients. The bank leverages cutting-edge technology and digital platforms to drive operational efficiency across its international network.
- Industry
- Banking
- Company size
- 93000+ employees
- Founded
- 1690
- Location
- London, United Kingdom
- Funding stage
- Public Company
Leadership
Group Chief Executive
Group Finance Director
Group Chief Operating Officer
Recent coverage
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